Typic: A Practical and Robust Tool to Rank Proteotypic Peptides for Targeted Proteomics

• Published in: Journal of proteome research 2023-02, Vol.22 (2), p.539-545
• Main Authors: Pauletti, Bianca A., Granato, Daniela C., M. Carnielli, Carolina, Câmara, Guilherme A., Normando, Ana Gabriela C., Telles, Guilherme P., Leme, Adriana F. Paes
• Format: Article
• Language: English
• Subjects: Peptides; Proteome; Proteomics
• ISSN: 1535-3893; 1535-3907
• DOI: 10.1021/acs.jproteome.2c00585

The selection of a suitable proteotypic peptide remains a challenge for designing a targeted quantitative proteomics assay. Although the criteria are well-established in the literature, the selection of these peptides is often performed in a subjective and time-consuming manner. Here, we have developed a practical and semiautomated workflow implemented in an open-source program named Typic. Typic is designed to run in a command line and a graphical interface to help selecting a list of proteotypic peptides for targeted quantitation. The tool combines the input data and downloads additional data from public repositories to produce a file per protein as output. Each output file includes relevant information to the selection of proteotypic peptides organized in a table, a colored ranking of peptides according to their potential value as targets for quantitation and auxiliary plots to assist users in the task of proteotypic peptides selection. Taken together, Typic leads to a practical and straightforward data extraction from multiple data sets, allowing the identification of most suitable proteotypic peptides based on established criteria, in an unbiased and standardized manner, ultimately leading to a more robust targeted proteomics assay.